GIS based chemical fate modeling : principles and applications

Explains how GIS enhances the development of chemical fate and transport models Over the past decade, researchers have discovered that geographic information systems (GIS) are not only excellent tools for managing and displaying maps, but also useful in the analysis of chemical fate and transport in...

Full description

Saved in:
Bibliographic Details
Main Author: Pistocchi, Alberto, 1972- (Author)
Format: eBook
Language: English
Published: Hoboken, New Jersey : Wiley, 2014.
Subjects:
Environmental chemistry > Geographic information systems.
Transport theory > Mathematical models.
elektronické knihy
electronic books
ISBN: 9781118523650
1118523652
1118059972
9781118059975
9781118523667
1118523660
9781118523704
1118523709
Physical Description: 1 online resource (506 pages) : color illustrations

Cover

Table of contents

LEADER 06160cam a2200517 i 4500
001 kn-ocn878138767
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 140324t20142014njua ob 001 0 eng d
040 |a E7B  |b eng  |e rda  |e pn  |c E7B  |d OCLCQ  |d OCLCO  |d COO  |d OCLCF  |d YDXCP  |d EBLCP  |d IDEBK  |d RECBK  |d DG1  |d CUS  |d CDX  |d OHI  |d OCLCO  |d DEBSZ  |d OCLCQ  |d OCLCO  |d N$T  |d OCLCO  |d DG1  |d COCUF  |d DG1  |d MOR  |d LIP  |d PIFAG  |d STF  |d ZCU  |d MERUC  |d OCLCQ  |d DEBBG  |d GWDNB  |d U3W  |d OCLCQ  |d NRAMU  |d CRU  |d RRP  |d VTS  |d OCLCQ  |d INT  |d VT2  |d OCLCQ  |d TKN  |d OCLCQ  |d DKC  |d OCLCQ  |d UKAHL  |d OCLCQ  |d LUN  |d OCLCQ  |d TUHNV  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781118523650  |q (e-book) 
020 |a 1118523652  |q (e-book) 
020 |a 1118059972 
020 |a 9781118059975 
020 |a 9781118523667 
020 |a 1118523660 
020 |z 9781118059975 
020 |z 9781118523704 
020 |z 1118523709 
035 |a (OCoLC)878138767  |z (OCoLC)870244571  |z (OCoLC)871257599  |z (OCoLC)881363314  |z (OCoLC)894729960  |z (OCoLC)961625759  |z (OCoLC)962639762  |z (OCoLC)992839623  |z (OCoLC)1055382619  |z (OCoLC)1081275423  |z (OCoLC)1103266980  |z (OCoLC)1129351799  |z (OCoLC)1152980207  |z (OCoLC)1192348085  |z (OCoLC)1228579123  |z (OCoLC)1240522720 
100 1 |a Pistocchi, Alberto,  |d 1972-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjvXwdX7jc3yqWhVJm3XwK 
245 1 0 |a GIS based chemical fate modeling :  |b principles and applications /  |c Alberto Pistocchi. 
264 1 |a Hoboken, New Jersey :  |b Wiley,  |c 2014. 
264 4 |c ©2014 
300 |a 1 online resource (506 pages) :  |b color illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references at the end of each chapters and index. 
505 0 |a Cover; Title Page; Copyright; Preface; Contributors; Chapter 1: Chemicals, Models, and GIS: Introduction; 1.1 Chemistry, Modeling, and Geography; 1.2 Mr. Palomar and Models; 1.3 What Makes a Model Different?; 1.4 Simple, Complex, or Tiered?; 1.5 For Whom is this Book Written?; References; Chapter 2: Basics of Chemical Compartment Models and Their Implementation with GIS Functions; 2.1 Introduction; 2.2 Phase Partitioning; 2.3 Diffusion, Dispersion, and Advection; 2.4 Fluxes at the Interfaces; 2.5 Reactions; 2.6 Transport within An Environmental Medium: The Advection-Diffusion Equation (ADE). 
505 8 |a 2.7 Analytical Solutions; 2.8 Box Models, Multimedia and Multispecies Fate and Transport; 2.9 Spatial Models: Implicit, Explicit, Detailed Explicit, and GIS-Based Schemes; References; Chapter 3: Basics of GIS Operations; 3.1 What is GIS?; 3.2 GIS Data; 3.3 GIS Software; 3.4 GIS Standards; 3.5 A Classification of GIS Operations for Chemical Fate Modeling; 3.6 Spatial Thinking; 3.7 Beyond GIS; 3.8 Further Progress on GIS; References; Chapter 4: Map Algebra; 4.1 MAP Algebra Operators and Syntaxes; 4.2 Using MAP Algebra to Compute a Gaussian Plume. 
505 8 |a 4.3 Using MAP Algebra to Implement Isolated box Models; References; Chapter 5: Distance Calculations; 5.1 Concepts of Distance Calculations; 5.2 Distance Along a Surface and Vertical Distance; 5.3 Applications of Euclidean Distance in Pollution Problems; 5.4 Cost Distance; References; Chapter 6: Spatial Statistics and Neighborhood Modeling in GIS; 6.1 Variograms: Analyzing Spatial Patterns; 6.2 Interpolation; 6.3 Zonal Statistics; 6.4 Neighborhood Statistics and Filters; References; Chapter 7: Digital Elevation Models, Topographic Controls, and Hydrologic Modeling in GIS. 
505 8 |a 7.1 Basic Surface Analysis; 7.2 Drainage; 7.3 Using GIS Hydrological Functions in Chemical Fate and Transport Modeling; 7.4 Non-D8 Methods and the TauDEM Algorithms; 7.5 ESRI's "Darcy Flow" and "Porous Puff" Functions; References; Chapter 8: Elements of Dynamic Modeling in GIS; 8.1 Dynamic GIS Models; 8.2 Studying Time-Dependent Effects with Simple Map Algebra; 8.3 Decoupling Spatial and Temporal Aspects of Models: The Mappe Global Approach; References; Chapter 9: Metamodeling and Source-Receptor Relationship Modeling in GIS; 9.1 Introduction; 9.2 Metamodeling; 9.3 Source-Receptor Relationships. 
505 8 |a References; Chapter 10: Spatial Data Management in GIS and the Coupling of GIS and Environmental Models; 10.1 Introduction; 10.2 Historical Perspective of Emergence of Spatial Databases in Environmental Domain; 10.3 Spatial Data Management in GIS: Theory and History; 10.4 Spatial Database Solutions; 10.5 Simple environmental spatiotemporal database skeleton and GIS: hands-on examples; 10.6 Generalized Environmental Spatiotemporal Database Skeleton and Geographic Mashups; References; Chapter 11: Soft Computing Methods for the Overlaying of Chemical Data with Other Spatially Varying Parameters. 
505 8 |a 11.1 Introduction. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Explains how GIS enhances the development of chemical fate and transport models Over the past decade, researchers have discovered that geographic information systems (GIS) are not only excellent tools for managing and displaying maps, but also useful in the analysis of chemical fate and transport in the environment. Among its many benefits, GIS facilitates the identification of critical factors that drive chemical fate and transport. Moreover, GIS makes it easier to communicate and explain key model assumptions. Based on the author's firsthand experience in environmental asse. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Environmental chemistry  |x Geographic information systems. 
650 0 |a Transport theory  |x Mathematical models. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Pistocchi, Alberto, 1972-  |t GIS based chemical fate modeling : principles and applications.  |d Hoboken, New Jersey : Wiley, ©2014  |h xvii, 486 pages  |z 9781118059975 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpGISBCFM1/gis-based-chemical?kpromoter=marc  |y Full text 

Similar Items